Joint Multi-innovation Recursive Extended Least Squares Parameter and State Estimation for a Class of State-space Systems
暂无分享,去创建一个
Ting Cui | Tasawar Hayat | Xue-Bo Jin | Feng Ding | Ahmed Alsaedi | T. Hayat | A. Alsaedi | F. Ding | Xue-bo Jin | Ting Cui
[1] Feng Ding,et al. Iterative Parameter Estimation for Signal Models Based on Measured Data , 2018, Circuits Syst. Signal Process..
[2] Xiao-Xiao Li,et al. A quasi-boundary regularization method for identifying the initial value of time-fractional diffusion equation on spherically symmetric domain , 2019, Journal of Inverse and Ill-posed Problems.
[3] Ling Xu,et al. Application of the Newton iteration algorithm to the parameter estimation for dynamical systems , 2015, J. Comput. Appl. Math..
[4] Nan Zhao,et al. Android-based mobile educational platform for speech signal processing , 2017 .
[5] Feng Ding,et al. Recursive parameter estimation algorithm for multivariate output-error systems , 2018, J. Frankl. Inst..
[6] Feng Ding,et al. Filtering-Based Multistage Recursive Identification Algorithm for an Input Nonlinear Output-Error Autoregressive System by Using the Key Term Separation Technique , 2017, Circuits Syst. Signal Process..
[7] C. L. Philip Chen,et al. A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems , 2019, IEEE Transactions on Automatic Control.
[8] Erfu Yang,et al. State filtering‐based least squares parameter estimation for bilinear systems using the hierarchical identification principle , 2018, IET Control Theory & Applications.
[9] Yiyang Pei,et al. Dynamic Contract Incentive Mechanism for Cooperative Wireless Networks , 2018, IEEE Transactions on Vehicular Technology.
[10] Meihang Li,et al. The least squares based iterative algorithms for parameter estimation of a bilinear system with autoregressive noise using the data filtering technique , 2018, Signal Process..
[11] Meihang Li,et al. Auxiliary Model Based Least Squares Iterative Algorithms for Parameter Estimation of Bilinear Systems Using Interval-Varying Measurements , 2018, IEEE Access.
[12] Wei Li,et al. Control Algorithms of Magnetic Suspension Systems Based on the Improved Double Exponential Reaching Law of Sliding Mode Control , 2018, International Journal of Control, Automation and Systems.
[13] Feng Ding,et al. Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems , 2015, J. Frankl. Inst..
[14] F. Ma,et al. Start-Up Process Modelling of Sediment Microbial Fuel Cells Based on Data Driven , 2019, Mathematical Problems in Engineering.
[15] Ling Xu,et al. Highly computationally efficient state filter based on the delta operator , 2019, International Journal of Adaptive Control and Signal Processing.
[16] Xiaoxing Zhang,et al. A First-Principles Study of the SF6 Decomposed Products Adsorbed Over Defective WS2 Monolayer as Promising Gas Sensing Device , 2019, IEEE Transactions on Device and Materials Reliability.
[17] Ahmed Alsaedi,et al. Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model , 2020, J. Comput. Appl. Math..
[18] Hui Liu,et al. Novel Method for Identifying Fault Location of Mixed Lines , 2018, Energies.
[19] Youqing Wang,et al. Weighted preliminary-summation-based principal component analysis for non-Gaussian processes , 2019, Control Engineering Practice.
[20] Bo Fu,et al. An Improved Mixed Integer Linear Programming Approach Based on Symmetry Diminishing for Unit Commitment of Hybrid Power System , 2019, Energies.
[21] Wen-Qin Wang,et al. Sparsity-aware transmit beamspace design for FDA-MIMO radar , 2018, Signal Process..
[22] Bo Fu,et al. Research on Automatic Generation Control with Wind Power Participation Based on Predictive Optimal 2-Degree-of-Freedom PID Strategy for Multi-area Interconnected Power System , 2018, Energies.
[23] Yuehong Su,et al. A Capacity Configuration Control Strategy to Alleviate Power Fluctuation of Hybrid Energy Storage System Based on Improved Particle Swarm Optimization , 2019, Energies.
[24] Yiyang Pei,et al. Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks , 2019, IEEE Transactions on Wireless Communications.
[25] Jie Ding,et al. Particle filtering‐based recursive identification for controlled auto‐regressive systems with quantised output , 2019, IET Control Theory & Applications.
[26] Feng Ding,et al. Maximum Likelihood Recursive Identification for the Multivariate Equation-Error Autoregressive Moving Average Systems Using the Data Filtering , 2019, IEEE Access.
[27] Wen-Qin Wang,et al. Adaptive weight matrix design and parameter estimation via sparse modeling for MIMO radar , 2017, Signal Process..
[28] Haisheng Yu,et al. A Novel Speed Control Method Based on Port-Controlled Hamiltonian and Disturbance Observer for PMSM Drives , 2019, IEEE Access.
[29] Feng Ding,et al. Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory , 2019, Circuits Syst. Signal Process..
[30] Fan Yang,et al. The quasi-boundary value method for identifying the initial value of heat equation on a columnar symmetric domain , 2018, Numerical Algorithms.
[31] Ling Xu,et al. The damping iterative parameter identification method for dynamical systems based on the sine signal measurement , 2016, Signal Process..
[32] Fan Yang,et al. Fourier Truncation Regularization Method for a Time-Fractional Backward Diffusion Problem with a Nonlinear Source , 2019, Mathematics.
[33] Tingli Su,et al. Integrated Predictor Based on Decomposition Mechanism for PM2.5 Long-Term Prediction , 2019, Applied Sciences.
[34] Huaicheng Yan,et al. Modified tracking performance limitation of networked time-delay systems with two-channel constraints , 2019, J. Frankl. Inst..
[35] Feng Ding,et al. Combined state and parameter estimation for a bilinear state space system with moving average noise , 2018, J. Frankl. Inst..
[36] Ling Xu. The parameter estimation algorithms based on the dynamical response measurement data , 2017 .
[37] Feng Liu,et al. Bio-Inspired Speed Curve Optimization and Sliding Mode Tracking Control for Subway Trains , 2019, IEEE Transactions on Vehicular Technology.
[38] W. Shi,et al. Effects of Postannealing on the Characteristics and Reliability of Polyfluorene Organic Light-Emitting Diodes , 2019, IEEE Transactions on Electron Devices.
[39] Nan Zhao,et al. Joint Optimization of Cooperative Spectrum Sensing and Resource Allocation in Multi-channel Cognitive Radio Sensor Networks , 2016, Circuits Syst. Signal Process..
[40] Michel Verhaegen,et al. Subspace identification of individual systems in a large-scale heterogeneous network , 2019, Autom..
[41] Feng Ding,et al. State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors , 2019, International Journal of Adaptive Control and Signal Processing.
[42] T. Hayat,et al. Hierarchical Parameter Estimation for the Frequency Response Based on the Dynamical Window Data , 2018, International Journal of Control, Automation and Systems.
[43] Fan Yang,et al. Landweber iterative method for identifying the initial value problem of the time-space fractional diffusion-wave equation , 2019, Numerical Algorithms.
[44] Feng Ding,et al. Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model , 2016, Autom..
[45] Lin Zhao,et al. Combined Speed and Current Terminal Sliding Mode Control With Nonlinear Disturbance Observer for PMSM Drive , 2018, IEEE Access.
[46] Feng Ding,et al. Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals , 2019, Circuits Syst. Signal Process..
[47] Song Xiao,et al. AC Breakdown and Decomposition Characteristics of Environmental Friendly Gas C5F10O/Air and C5F10O/N2 , 2019, IEEE Access.
[48] Feng Ding,et al. Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering , 2017, J. Frankl. Inst..
[49] Wei Xing Zheng,et al. A globally consistent nonlinear least squares estimator for identification of nonlinear rational systems , 2017, Autom..
[50] Jie Ding,et al. Particle filtering based parameter estimation for systems with output-error type model structures , 2019, J. Frankl. Inst..
[51] Guo Xie,et al. Fault Diagnosis of Train Plug Door Based on a Hybrid Criterion for IMFs Selection and Fractional Wavelet Package Energy Entropy , 2019, IEEE Transactions on Vehicular Technology.
[52] Biao Huang,et al. Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008-2017 , 2018, The Canadian Journal of Chemical Engineering.
[53] Ting Cui,et al. Recursive parameter and state estimation methods for observability canonical state-space models exploiting the hierarchical identification principle , 2019 .
[54] Feng Ding,et al. New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering , 2017, J. Frankl. Inst..
[55] W. Shi,et al. Effects of Charge Transport Materials on Blue Fluorescent Organic Light-Emitting Diodes with a Host-Dopant System , 2019, Micromachines.
[56] Ling Xu,et al. A proportional differential control method for a time-delay system using the Taylor expansion approximation , 2014, Appl. Math. Comput..
[57] Feng Ding,et al. Kalman filtering based gradient estimation algorithms for observer canonical state-space systems with moving average noises , 2019, J. Frankl. Inst..
[58] Feng Ding,et al. Parameter estimation for control systems based on impulse responses , 2017 .
[59] Song Xiao,et al. Experimental Study on Compatibility of Eco-Friendly Insulating Medium C5F10O/CO2 Gas Mixture With Copper and Aluminum , 2019, IEEE Access.
[60] Jian Pan,et al. Recursive Algorithms for Multivariable Output-Error-Like ARMA Systems , 2019, Mathematics.
[61] Jicheng Liu,et al. Moving horizon estimation for multirate systems with time-varying time-delays , 2019, J. Frankl. Inst..
[62] Jing Chen,et al. Hierarchical identification for multivariate Hammerstein systems by using the modified Kalman filter , 2017 .
[63] Donghai Li,et al. On disturbance rejection in magnetic levitation , 2019, Control Engineering Practice.
[64] F. Ding,et al. Partially‐coupled least squares based iterative parameter estimation for multi‐variable output‐error‐like autoregressive moving average systems , 2019, IET Control Theory & Applications.
[65] Feng Ding,et al. The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle , 2019, International Journal of Adaptive Control and Signal Processing.
[66] Ling Xu,et al. Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration , 2015 .
[67] Yuan Tian,et al. Dissolved Gas Analysis in Transformer Oil Using Pt-Doped WSe2 Monolayer Based on First Principles Method , 2019, IEEE Access.
[68] Fan Yang,et al. Fourier Truncation Regularization Method for a Three-Dimensional Cauchy Problem of the Modified Helmholtz Equation with Perturbed Wave Number , 2019, Mathematics.
[69] Feng Ding,et al. Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle , 2017, IET Signal Process..
[70] Bo Fu,et al. Research on the Predictive Optimal PID Plus Second Order Derivative Method for AGC of Power System with High Penetration of Photovoltaic and Wind Power , 2019, Journal of Electrical Engineering & Technology.
[71] M. Arefi,et al. A fast iterative recursive least squares algorithm for Wiener model identification of highly nonlinear systems. , 2017, ISA transactions.
[72] Jianqiang Pan,et al. A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems , 2017 .
[73] Bo Fu,et al. Reliability analysis of hybrid multi-carrier energy systems based on entropy-based Markov model , 2016 .
[74] Wan Xiangkui,et al. A T-wave alternans assessment method based on least squares curve fitting technique , 2016 .
[75] Xiangkui Wan,et al. Two-stage Gradient-based Iterative Estimation Methods for Controlled Autoregressive Systems Using the Measurement Data , 2020, International Journal of Control, Automation and Systems.